Kernel-Based Learning for Disease Recognition by Using Biomedical Relation Extraction

The healthcare information system extracts the sentences from published medical papers that mention group of diseases and treatments, and identifies semantic relations that exist between diseases and treatments. The extracted information is less accurate. My proposed methodology obtains reliable outcomes that could be integrated in an application to be used in the medical care main. The potential value of my paper stands in the ML settings that I propose and in the fact that would outperform previous results on the same data set. The same data set to provide the fact.